Brosig, FabianReussner, RalfPretschner, AlexanderJähnichen, Stefan2019-01-172019-01-172011978-3-88579-278-9https://dl.gi.de/handle/20.500.12116/19896Today's enterprise systems based on increasingly complex software architectures often exhibit poor performance and resource efficiency thus having high operating costs. This is due to the inability to predict at run-time the effect of changes in the system environment and adapt the system accordingly. We propose a new performance modeling approach that allows the prediction of performance and system resource utilization online during system operation. We use architecture-level performance models that capture the performance-relevant information of the software architecture, deployment, execution environment and workload. The models will be automatically maintained during operation. To derive performance predictions, we propose a tailorable model solving approach to provide flexibility in view of prediction accuracy and analysis overhead.enText/Conference Paper1617-5468